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1
Improving Children's Knowledge of Fraction Magnitudes
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Improving Children's Knowledge of Fraction Magnitudes

Grantee Submission, 2016-10, Vol.11 (10), p.e0165243-e0165243 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Fazio et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Fazio et al 2016 Fazio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0165243 ;PMID: 27768756

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Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability
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Disparities in ratings of internal and external applicants: A case for model-based inter-rater reliability

Grantee Submission, 2018-10, Vol.13 (10), p.e0203002-e0203002 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Martinková et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 Martinková et al 2018 Martinková et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0203002 ;PMID: 30289923

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3
Cognitive mediators of US—China differences in early symbolic arithmetic
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Cognitive mediators of US—China differences in early symbolic arithmetic

Grantee Submission, 2021-08, Vol.16 (8), p.e0255283-e0255283 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 Opfer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Opfer et al 2021 Opfer et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0255283 ;PMID: 34432810

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4
Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study
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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study

Grantee Submission, 2019-02, Vol.14 (2), p.e0212488-e0212488 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Balyan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Balyan et al 2019 Balyan et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0212488 ;PMID: 30794616

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